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Record W2343167356 · doi:10.3899/jrheum.160114

International Dermatology Outcome Measures Initiative as Applied to Psoriatic Disease Outcomes: An Update

2016· article· en· W2343167356 on OpenAlexvenueno aff
Joseph F. Merola, April W. Armstrong, Ami Saraiya, John Latella, Amit Garg, Kristina Callis Duffin, Alice B. Gottlieb

Bibliographic record

VenueThe Journal of Rheumatology · 2016
Typearticle
Languageen
FieldImmunology and Microbiology
TopicPsoriasis: Treatment and Pathogenesis
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineClinical trialPsoriasisOutcome (game theory)Alternative medicineFamily medicineDermatologyDiseaseClinical PracticeMEDLINEInternal medicinePathology

Abstract

fetched live from OpenAlex

Previous publications have described the International Dermatology Outcome Measures (IDEOM) group, comprising patients, physicians, health economists, participating pharmaceutical industry partners, payers, and regulatory agencies. The goal of IDEOM is to create patient-centered, validated measures of dermatologic disease progression and treatment efficacy for use in both clinical trials and clinical practice. We provide an update of IDEOM activities as of our 2015 IDEOM meeting in Washington, DC, USA.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.043
metaresearch head score (Gemma)0.076
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.043
Threshold uncertainty score0.229

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0430.076
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0050.003
Bibliometrics0.0120.020
Science and technology studies0.0010.001
Scholarly communication0.0050.004
Open science0.0030.003
Research integrity0.0020.006
Insufficient payload (model declined to judge)0.0020.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.031
GPT teacher head0.284
Teacher spread0.253 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations10
Published2016
Admission routes1
Has abstractyes

Explore more

Same venueThe Journal of Rheumatology→Same topicPsoriasis: Treatment and Pathogenesis→French-language works237,207→